{"paper":{"title":"Efficient implementation of the Wang-Landau algorithm for systems with length-scalable potential energy functions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"cond-mat.stat-mech","authors_text":"Girish Kumar, Rohit S. Chandramouli, Santosh Kumar, Shashank Anand","submitted_at":"2018-10-27T09:40:43Z","abstract_excerpt":"We consider a class of systems where $N$ identical particles with positions ${\\bf q}_1,...,{\\bf q}_N$ and momenta ${\\bf p}_1,...,{\\bf p}_N$ are enclosed in a box of size $L$, and exhibit the scaling $\\mathcal{U}(L{\\bf r}_1,...,L{\\bf r}_N)=\\alpha(L)\\, \\mathcal{U}({\\bf r}_1,...,{\\bf r}_N)$ for the associated potential energy function $\\mathcal{U}({\\bf q}_1,...,{\\bf q}_N)$. For these systems, we propose an efficient implementation of the Wang-Landau algorithm for evaluating thermodynamic observables involving energy and volume fluctuations in the microcanonical description, and temperature and vo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.11623","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}